Yizhe Zhu

According to our database, Yizhe Zhu authored at least 48 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Partial recovery and weak consistency in the non-uniform hypergraph stochastic block model.

Ioana Dumitriu, Hai-Xiao Wang, Yizhe Zhu

Comb. Probab. Comput., 2025

2024

High-compressed deepfake video detection with contrastive spatiotemporal distillation.

Yizhe Zhu, Chunhui Zhang, Jialin Gao, Xin Sun, Zihan Rui, Xi Zhou

Neurocomputing, January, 2024

Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity.

Dominik Stöger, Yizhe Zhu

CoRR, 2024

Universality of kernel random matrices and kernel regression in the quadratic regime.

Parthe Pandit, Zhichao Wang, Yizhe Zhu

CoRR, 2024

Online Differentially Private Synthetic Data Generation.

Yiyun He, Roman Vershynin, Yizhe Zhu

CoRR, 2024

MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion.

Di Chang, Yichun Shi, Quankai Gao, Hongyi Xu, Jessica Fu, Guoxian Song, Qing Yan, Yizhe Zhu, Xiao Yang, Mohammad Soleymani

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation.

Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

A non-backtracking method for long matrix and tensor completion.

Ludovic Stephan, Yizhe Zhu

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Robust Recovery of Low-Rank Matrices and Low-Tubal-Rank Tensors from Noisy Sketches.

Anna Ma, Dominik Stöger, Yizhe Zhu

SIAM J. Matrix Anal. Appl., December, 2023

Video Moment Retrieval via Comprehensive Relation-Aware Network.

Xin Sun, Jialin Gao, Yizhe Zhu, Xuan Wang, Xi Zhou

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Sparse recovery properties of discrete random matrices.

Asaf Ferber, Ashwin Sah, Mehtaab Sawhney, Yizhe Zhu

Comb. Probab. Comput., March, 2023

Exploiting enhanced and robust RGB-D face representation via progressive multi-modal learning.

Yizhe Zhu, Jialin Gao, Tianshu Wu, Qiong Liu, Xi Zhou

Pattern Recognit. Lett., February, 2023

Spectral gap-based deterministic tensor completion.

Kameron Decker Harris, Oscar López, Angus Read, Yizhe Zhu

CoRR, 2023

Differentially private low-dimensional representation of high-dimensional data.

Yiyun He, Thomas Strohmer, Roman Vershynin, Yizhe Zhu

CoRR, 2023

AVForensics: Audio-driven Deepfake Video Detection with Masking Strategy in Self-supervision.

Yizhe Zhu, Jialin Gao, Xi Zhou

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Audio-Driven Talking Head Video Generation with Diffusion Model.

Yizhe Zhu, Chunhui Zhang, Qiong Liu, Xi Zhou

Proceedings of the IEEE International Conference on Acoustics, 2023

Exploiting Multi-modal Fusion for Robust Face Representation Learning with Missing Modality.

Yizhe Zhu, Xin Sun, Xi Zhou

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Shifted Diffusion for Text-to-image Generation.

Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, Jinhui Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Algorithmically Effective Differentially Private Synthetic Data.

Yiyun He, Roman Vershynin, Yizhe Zhu

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Overparameterized Random Feature Regression with Nearly Orthogonal Data.

Zhichao Wang, Yizhe Zhu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

MagicVideo: Efficient Video Generation With Latent Diffusion Models.

Daquan Zhou, Weimin Wang, Hanshu Yan, Weiwei Lv, Yizhe Zhu, Jiashi Feng

CoRR, 2022

Attention-guided Fine-grained Feature Learning For Robust Face Forgery Detection.

Yizhe Zhu, Jialin Gao, Qiong Liu, Xi Zhou

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Sparse random hypergraphs: Non-backtracking spectra and community detection.

Ludovic Stephan, Yizhe Zhu

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

2021

Deterministic Tensor Completion with Hypergraph Expanders.

Kameron Decker Harris, Yizhe Zhu

SIAM J. Math. Data Sci., 2021

Community detection in the sparse hypergraph stochastic block model.

Soumik Pal, Yizhe Zhu

Random Struct. Algorithms, 2021

Deformed semicircle law and concentration of nonlinear random matrices for ultra-wide neural networks.

Zhichao Wang, Yizhe Zhu

CoRR, 2021

Spectra of Random Regular Hypergraphs.

Ioana Dumitriu, Yizhe Zhu

Electron. J. Comb., 2021

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis.

Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

Proceedings of the 9th International Conference on Learning Representations, 2021

Self-Supervised Sketch-to-Image Synthesis.

Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

TIME: Text and Image Mutual-Translation Adversarial Networks.

Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A graphon approach to limiting spectral distributions of Wigner-type matrices.

Yizhe Zhu

Random Struct. Algorithms, 2020

Federated Adversarial Domain Adaptation.

Xingchao Peng, Zijun Huang, Yizhe Zhu, Kate Saenko

Proceedings of the 8th International Conference on Learning Representations, 2020

S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation.

Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Sketch-to-Art: Synthesizing Stylized Art Images from Sketches.

Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization.

Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Eigenvalues of the non-backtracking operator detached from the bulk.

Simon Coste, Yizhe Zhu

CoRR, 2019

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

CoRR, 2019

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

CoRR, 2019

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning.

Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AdaTransform: Adaptive Data Transformation.

Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Exact Recovery in the Hypergraph Stochastic Block Model: a Spectral Algorithm.

Sam Cole, Yizhe Zhu

CoRR, 2018

A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts.

Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CU-Net: Coupled U-Nets.

Zhiqiang Tang, Xi Peng, Shijie Geng, Yizhe Zhu, Dimitris N. Metaxas

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts.

Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed M. Elgammal

CoRR, 2017

A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras.

Yizhe Zhu, Ahmed M. Elgammal

Proceedings of the IEEE International Conference on Computer Vision, 2017

Evaluating Data Resilience in CNNs from an Approximate Memory Perspective.

Yuanchang Chen, Yizhe Zhu, Fei Qiao, Jie Han, Yuansheng Liu, Huazhong Yang

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision.

Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017